Keyword

Isomap

Description: Isomap is a nonlinear dimensionality reduction method that estimates the geometry of a data manifold using neighborhood relationships and geodesic distances.

Primary topic: Face and Expression Recognition (30%)

Wikidata ID: wiki/Q6086067

OpenAlex ID: keywords/isomap

Visualizing Data using t-SNE

2008 · Laurens van der Maaten, Geoffrey E. Hinton · Journal of Machine Learning Research · 33,046

Dimensionality Reduction: A Comparative Review

2009 · Laurens van der Maaten, Eric Postma, et al. · 2,066

Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data

2003 · David L. Donoho, Carrie Grimes · Proceedings of the National Academy of Sciences · 1,662

Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering

2003 · Yoshua Bengio, Jean-François Paiement, et al. · 895

Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE)

2021 · Farzana Anowar, Samira Sadaoui, et al. · Computer Science Review · 853

Global Versus Local Methods in Nonlinear Dimensionality Reduction

2002 · Vin D. Silva, Joshua B. Tenenbaum · 794

A kernel view of the dimensionality reduction of manifolds

2004 · Jihun Ham, Daniel D. Lee, et al. · 539

Learning a kernel matrix for nonlinear dimensionality reduction

2004 · Kilian Q. Weinberger, Fei Sha, et al. · 520

Supervised Nonlinear Dimensionality Reduction for Visualization and Classification

2005 · X. Geng, D.-C. Zhan, et al. · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 430

Exploiting manifold geometry in hyperspectral imagery

2005 · C.M. Bachmann, T.L. Ainsworth, et al. · IEEE Transactions on Geoscience and Remote Sensing · 407

Remaining useful life estimation based on nonlinear feature reduction and support vector regression

2013 · T. Benkedjouh, K. Medjaher, et al. · Engineering Applications of Artificial Intelligence · 353

Learning Eigenfunctions Links Spectral Embedding and Kernel PCA

2004 · Yoshua Bengio, Olivier Delalleau, et al. · Neural Computation · 345

Data Visualization With Multidimensional Scaling

2008 · Andreas Buja, Deborah F Swayne, et al. · Journal of Computational and Graphical Statistics · 307

Incremental nonlinear dimensionality reduction by manifold learning

2006 · M.H.C. Law, A.K. Jain · IEEE Transactions on Pattern Analysis and Machine Intelligence · 284

Dimension Reduction: A Guided Tour

2010 · Christopher J. C. Burges · Foundations and Trends® in Machine Learning · 282

Mapping a Manifold of Perceptual Observations

1997 · Joshua B. Tenenbaum · 258

Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data

2010 · Zhu-Hong You, Ying-Ke Lei, et al. · Bioinformatics · 227

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Unsupervised learning of image manifolds by semide .nite programming

2004 · K.Q. Weinberger, L.K. Saul · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 214

Large-scale manifold learning

2008 · Ameet Talwalkar, Sanjiv Kumar, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 211

Local Multidimensional Scaling for Nonlinear Dimension Reduction, Graph Drawing, and Proximity Analysis

2009 · Lisha Chen, Andreas Buja · Journal of the American Statistical Association · 197

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A spatio-temporal extension to Isomap nonlinear dimension reduction

2004 · Odest Chadwicke Jenkins, Maja J. Matarić · 190

Iso-charts

2004 · Kun Zhou, John Synder, et al. · 177

Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis

2004 · John Aldo Lee, Amaury Lendasse, et al. · Neurocomputing · 173

Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation

2007 · Vineeth Nallure Balasubramanian, Jieping Ye, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 170

Introduction to manifold learning

2012 · Alan Julian Izenman · Wiley Interdisciplinary Reviews Computational Statistics · 167

Works count: 1,684

Citation count: 60,700